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What is Barbara?

Barbara stands out as the premier Edge AI Platform within the industry sector, enabling Machine Learning Teams to efficiently oversee the entire lifecycle of models deployed at the Edge, even on a large scale. This innovative platform allows businesses to seamlessly deploy, operate, and manage their models remotely across various distributed sites, mirroring the ease of operation typically found in cloud environments. Barbara includes several key components: - Industrial Connectors that support both legacy systems and modern equipment. - An Edge Orchestrator designed to deploy and manage container-based and native edge applications across thousands of distributed sites. - MLOps capabilities that facilitate the optimization, deployment, and monitoring of trained models in a matter of minutes. - A Marketplace offering certified Edge Apps that are ready for immediate deployment. - Remote Device Management functionalities for provisioning, configuration, and updates of devices. With its comprehensive suite of tools, Barbara empowers organizations to streamline their operations and enhance their edge computing capabilities. More information can be found at www.barbara.tech.

What is Amazon SageMaker Clarify?

Amazon SageMaker Clarify provides machine learning practitioners with advanced tools aimed at deepening their insights into both training datasets and model functionality. This innovative solution detects and evaluates potential biases through diverse metrics, empowering developers to address bias challenges and elucidate the predictions generated by their models. SageMaker Clarify is adept at uncovering biases throughout different phases: during the data preparation process, after training, and within deployed models. For instance, it allows users to analyze age-related biases present in their data or models, producing detailed reports that outline various types of bias. Moreover, SageMaker Clarify offers feature importance scores to facilitate the understanding of model predictions, as well as the capability to generate explainability reports in both bulk and real-time through online explainability. These reports prove to be extremely useful for internal presentations or client discussions, while also helping to identify possible issues related to the model. In essence, SageMaker Clarify acts as an essential resource for developers aiming to promote fairness and transparency in their machine learning projects, ultimately fostering trust and accountability in their AI solutions. By ensuring that developers have access to these insights, SageMaker Clarify helps to pave the way for more responsible AI development.

Media

Media

Integrations Supported

Integrations Supported

Amazon SageMaker
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub

Company Facts

Organization Name

Barbara

Date Founded

2016

Company Location

Spain

Company Website

www.barbara.tech/edge-ai-platform

Company Facts

Organization Name

Amazon

Date Founded

2006

Company Location

United States

Company Website

aws.amazon.com/sagemaker/clarify/

Categories and Features

AI Infrastructure

Not specified

Machine Learning

Not specified

Categories and Features

AI Infrastructure

Not specified

Machine Learning

Not specified

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